Overview

Brought to you by YData

Dataset statistics

Number of variables	29
Number of observations	121090
Missing cells	36
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	26.8 MiB
Average record size in memory	232.0 B

Variable types

Numeric	4
Text	10
DateTime	3
Categorical	12

Alerts

`# Sh` has constant value "1"	Constant
`DepartmentCodeDescription` is highly overall correlated with `Group` and 3 other fields	High correlation
`Gross Weight` is highly overall correlated with `Liability m₽` and 1 other fields	High correlation
`Group` is highly overall correlated with `DepartmentCodeDescription` and 3 other fields	High correlation
`Group det` is highly overall correlated with `DepartmentCodeDescription` and 5 other fields	High correlation
`Group2` is highly overall correlated with `DepartmentCodeDescription` and 5 other fields	High correlation
`Last Update User` is highly overall correlated with `Group2` and 2 other fields	High correlation
`Liability m₽` is highly overall correlated with `Gross Weight` and 1 other fields	High correlation
`Mode Of Transport Sh` is highly overall correlated with `Group det` and 1 other fields	High correlation
`RU&VAT` is highly overall correlated with `Group det`	High correlation
`Revenue (Local)` is highly overall correlated with `Gross Weight` and 1 other fields	High correlation
`Shipment #` is highly overall correlated with `period`	High correlation
`period` is highly overall correlated with `Shipment #`	High correlation
`Автор` is highly overall correlated with `Group2` and 1 other fields	High correlation
`Статья ДДС` is highly overall correlated with `DepartmentCodeDescription` and 5 other fields	High correlation
`RU&VAT` is highly imbalanced (91.0%)	Imbalance
`Gross Weight` is highly skewed (γ1 = 38.27961198)	Skewed
`Liability m₽` is highly skewed (γ1 = 162.353805)	Skewed
`Shipment #` has unique values	Unique

Reproduction

Analysis started	2025-06-01 10:51:49.579459
Analysis finished	2025-06-01 10:52:02.171486
Duration	12.59 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Shipment #
Real number (ℝ)

High correlation Unique

Distinct	121090
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	769643.97

Minimum	606011
Maximum	831457
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	946.1 KiB

Quantile statistics

Minimum	606011
5-th percentile	714117.45
Q1	738696.25
median	769575.5
Q3	800676.75
95-th percentile	825343.55
Maximum	831457
Range	225446
Interquartile range (IQR)	61980.5

Descriptive statistics

Standard deviation	35743.106
Coefficient of variation (CV)	0.046441092
Kurtosis	-1.176826
Mean	769643.97
Median Absolute Deviation (MAD)	30987
Skewness	-0.001974286
Sum	9.3196188 × 10¹⁰
Variance	1.2775696 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
708064	1	< 0.1%
789847	1	< 0.1%
790419	1	< 0.1%
790370	1	< 0.1%
790583	1	< 0.1%
790422	1	< 0.1%
790421	1	< 0.1%
790407	1	< 0.1%
790311	1	< 0.1%
790281	1	< 0.1%
Other values (121080)	121080	> 99.9%

Value	Count	Frequency (%)
606011	1	< 0.1%
606012	1	< 0.1%
606013	1	< 0.1%
606017	1	< 0.1%
606021	1	< 0.1%
606022	1	< 0.1%
606023	1	< 0.1%
606028	1	< 0.1%
606037	1	< 0.1%
706390	1	< 0.1%

Value	Count	Frequency (%)
831457	1	< 0.1%
831456	1	< 0.1%
831455	1	< 0.1%
831454	1	< 0.1%
831453	1	< 0.1%
831452	1	< 0.1%
831451	1	< 0.1%
831450	1	< 0.1%
831449	1	< 0.1%
831448	1	< 0.1%

Pickup Date w/o time
Text

Distinct	876
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	8
Median length	8
Mean length	7.9999917
Min length	7

Characters and Unicode

Total characters	968719
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	< 0.1%

Sample

1st row	31/12/22
2nd row	29/12/22
3rd row	30/12/22
4th row	28/12/22
5th row	28/12/22

Value	Count	Frequency (%)
01/04/24	527	0.4%
10/06/24	441	0.4%
18/03/24	419	0.3%
04/03/24	414	0.3%
16/09/24	411	0.3%
22/04/24	408	0.3%
30/09/24	400	0.3%
20/05/24	393	0.3%
12/05/25	392	0.3%
29/01/24	390	0.3%
Other values (866)	116895	96.5%

Most occurring characters

Value	Count	Frequency (%)
/	242178	25.0%
2	196303	20.3%
0	146967	15.2%
1	100853	10.4%
4	82556	8.5%
3	74631	7.7%
5	43153	4.5%
7	21591	2.2%
6	20771	2.1%
9	19937	2.1%
Other values (8)	19779	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	726534	75.0%
Other Punctuation	242180	25.0%
Uppercase Letter	5	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	196303	27.0%
0	146967	20.2%
1	100853	13.9%
4	82556	11.4%
3	74631	10.3%
5	43153	5.9%
7	21591	3.0%
6	20771	2.9%
9	19937	2.7%
8	19772	2.7%

Uppercase Letter

Value	Count	Frequency (%)
V	1	20.0%
A	1	20.0%
L	1	20.0%
U	1	20.0%
E	1	20.0%

Other Punctuation

Value	Count	Frequency (%)
/	242178	> 99.9%
#	1	< 0.1%
!	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	968714	> 99.9%
Latin	5	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	242178	25.0%
2	196303	20.3%
0	146967	15.2%
1	100853	10.4%
4	82556	8.5%
3	74631	7.7%
5	43153	4.5%
7	21591	2.2%
6	20771	2.1%
9	19937	2.1%
Other values (3)	19774	2.0%

Latin

Value	Count	Frequency (%)
V	1	20.0%
A	1	20.0%
L	1	20.0%
U	1	20.0%
E	1	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	968719	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	242178	25.0%
2	196303	20.3%
0	146967	15.2%
1	100853	10.4%
4	82556	8.5%
3	74631	7.7%
5	43153	4.5%
7	21591	2.2%
6	20771	2.1%
9	19937	2.1%
Other values (8)	19779	2.0%

Delivery Date w/o time
Date

Distinct	884
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Minimum	2023-01-01 00:00:00
Maximum	2025-12-05 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Last Update Date
Date

Distinct	741
Distinct (%)	0.6%
Missing	9
Missing (%)	< 0.1%
Memory size	946.1 KiB

Minimum	2022-12-26 00:00:00
Maximum	2025-12-05 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Last Update User
Categorical

High correlation

Distinct	30
Distinct (%)	< 0.1%
Missing	9
Missing (%)	< 0.1%
Memory size	946.1 KiB

Косарынская Людмила	31891
Дорофеева Елена	15474
Солодова Елена	15351
Новикова Дарья	12084
Миропольский Артем	9961
Other values (25)	36320

Length

Max length	31
Median length	28
Mean length	16.219481
Min length	5

Characters and Unicode

Total characters	1963871
Distinct characters	52
Distinct categories	3 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Скопенко Анна Алексеевна
2nd row	Новикова Дарья
3rd row	Косарынская Людмила
4th row	Кудрявцева Надежда
5th row	Кудрявцева Надежда

Common Values

Value	Count	Frequency (%)
Косарынская Людмила	31891	26.3%
Дорофеева Елена	15474	12.8%
Солодова Елена	15351	12.7%
Новикова Дарья	12084	10.0%
Миропольский Артем	9961	8.2%
Чурилов Юрий	9525	7.9%
Кудрявцева Надежда	6407	5.3%
webex	6066	5.0%
Решимова Екатерина	2980	2.5%
Самойлова Екатерина	2748	2.3%
Other values (20)	8594	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
косарынская	31891	13.2%
людмила	31891	13.2%
елена	31016	12.8%
дорофеева	15474	6.4%
солодова	15351	6.3%
новикова	12084	5.0%
дарья	12084	5.0%
артем	9961	4.1%
миропольский	9961	4.1%
чурилов	9525	3.9%
Other values (56)	63200	26.1%

Most occurring characters

Value	Count	Frequency (%)
а	234178	11.9%
о	186870	9.5%
	121357	6.2%
р	118799	6.0%
е	111840	5.7%
л	109677	5.6%
и	106242	5.4%
в	99423	5.1%
н	82119	4.2%
с	80985	4.1%
Other values (42)	712381	36.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1606142	81.8%
Uppercase Letter	236372	12.0%
Space Separator	121357	6.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
а	234178	14.6%
о	186870	11.6%
р	118799	7.4%
е	111840	7.0%
л	109677	6.8%
и	106242	6.6%
в	99423	6.2%
н	82119	5.1%
с	80985	5.0%
д	70577	4.4%
Other values (23)	405432	25.2%

Uppercase Letter

Value	Count	Frequency (%)
К	38775	16.4%
Е	36778	15.6%
Л	32166	13.6%
Д	29643	12.5%
С	20475	8.7%
Н	18682	7.9%
А	16048	6.8%
М	10992	4.7%
Ч	10556	4.5%
Ю	10526	4.5%
Other values (8)	11731	5.0%

Space Separator

Value	Count	Frequency (%)
	121357	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1812184	92.3%
Common	121357	6.2%
Latin	30330	1.5%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
а	234178	12.9%
о	186870	10.3%
р	118799	6.6%
е	111840	6.2%
л	109677	6.1%
и	106242	5.9%
в	99423	5.5%
н	82119	4.5%
с	80985	4.5%
д	70577	3.9%
Other values (37)	611474	33.7%

Latin

Value	Count	Frequency (%)
e	12132	40.0%
b	6066	20.0%
x	6066	20.0%
w	6066	20.0%

Common

Value	Count	Frequency (%)
	121357	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1812184	92.3%
ASCII	151687	7.7%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
а	234178	12.9%
о	186870	10.3%
р	118799	6.6%
е	111840	6.2%
л	109677	6.1%
и	106242	5.9%
в	99423	5.5%
н	82119	4.5%
с	80985	4.5%
д	70577	3.9%
Other values (37)	611474	33.7%

ASCII

Value	Count	Frequency (%)
	121357	80.0%
e	12132	8.0%
b	6066	4.0%
x	6066	4.0%
w	6066	4.0%

Дата создания
Date

Distinct	706
Distinct (%)	0.6%
Missing	9
Missing (%)	< 0.1%
Memory size	946.1 KiB

Minimum	2022-12-14 00:00:00
Maximum	2025-12-05 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Автор
Categorical

High correlation

Distinct	18
Distinct (%)	< 0.1%
Missing	9
Missing (%)	< 0.1%
Memory size	946.1 KiB

Косарынская Людмила	30543
Дорофеева Елена	22500
Миропольский Артем	15468
Новикова Дарья	12594
Солодова Елена	10847
Other values (13)	29129

Length

Max length	28
Median length	25
Mean length	16.784268
Min length	12

Characters and Unicode

Total characters	2032256
Distinct characters	46
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Скопенко Анна Алексеевна
2nd row	Новикова Дарья
3rd row	Косарынская Людмила
4th row	Косарынская Людмила
5th row	Косарынская Людмила

Common Values

Value	Count	Frequency (%)
Косарынская Людмила	30543	25.2%
Дорофеева Елена	22500	18.6%
Миропольский Артем	15468	12.8%
Новикова Дарья	12594	10.4%
Солодова Елена	10847	9.0%
Чурилов Юрий	9470	7.8%
Решимова Екатерина	5119	4.2%
Стенягина Елена Николаевна	4566	3.8%
Кудрявцева Надежда	3722	3.1%
Самойлова Екатерина	3631	3.0%
Other values (8)	2621	2.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
елена	37913	15.3%
косарынская	30543	12.4%
людмила	30543	12.4%
дорофеева	22500	9.1%
артем	15470	6.3%
миропольский	15468	6.3%
новикова	12594	5.1%
дарья	12594	5.1%
солодова	10847	4.4%
юрий	9470	3.8%
Other values (27)	49226	19.9%

Most occurring characters

Value	Count	Frequency (%)
а	250238	12.3%
о	195846	9.6%
е	130596	6.4%
р	127998	6.3%
	126087	6.2%
и	118188	5.8%
л	113148	5.6%
н	95083	4.7%
в	91403	4.5%
с	80819	4.0%
Other values (36)	702850	34.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1659001	81.6%
Uppercase Letter	247168	12.2%
Space Separator	126087	6.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
а	250238	15.1%
о	195846	11.8%
е	130596	7.9%
р	127998	7.7%
и	118188	7.1%
л	113148	6.8%
н	95083	5.7%
в	91403	5.5%
с	80819	4.9%
к	75148	4.5%
Other values (17)	380534	22.9%

Uppercase Letter

Value	Count	Frequency (%)
Е	46663	18.9%
Д	35094	14.2%
К	34265	13.9%
Л	30543	12.4%
Н	20882	8.4%
С	19483	7.9%
А	18275	7.4%
М	15468	6.3%
Ч	9470	3.8%
Ю	9470	3.8%
Other values (8)	7555	3.1%

Space Separator

Value	Count	Frequency (%)
	126087	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1906169	93.8%
Common	126087	6.2%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
а	250238	13.1%
о	195846	10.3%
е	130596	6.9%
р	127998	6.7%
и	118188	6.2%
л	113148	5.9%
н	95083	5.0%
в	91403	4.8%
с	80819	4.2%
к	75148	3.9%
Other values (35)	627702	32.9%

Common

Value	Count	Frequency (%)
	126087	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1906169	93.8%
ASCII	126087	6.2%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
а	250238	13.1%
о	195846	10.3%
е	130596	6.9%
р	127998	6.7%
и	118188	6.2%
л	113148	5.9%
н	95083	5.0%
в	91403	4.8%
с	80819	4.2%
к	75148	3.9%
Other values (35)	627702	32.9%

ASCII

Value	Count	Frequency (%)
	126087	100.0%

Статья ДДС
Categorical

High correlation

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

ТРЕЙДИНГ ДМ	23927
БАНКИ	21277
ИНКАССАЦИЯ	20710
ЮВЕЛИРЫ	20260
ЛОМБАРДЫ	18514
Other values (7)	16402

Length

Max length	24
Median length	16
Mean length	8.8035511
Min length	5

Characters and Unicode

Total characters	1066022
Distinct characters	31
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ПРОЧЕЕ
2nd row	ТРЕЙДИНГ ДМ
3rd row	БАНКИ
4th row	АВТОКАТАЛИЗАТОРЫ
5th row	АВТОКАТАЛИЗАТОРЫ

Common Values

Value	Count	Frequency (%)
ТРЕЙДИНГ ДМ	23927	19.8%
БАНКИ	21277	17.6%
ИНКАССАЦИЯ	20710	17.1%
ЮВЕЛИРЫ	20260	16.7%
ЛОМБАРДЫ	18514	15.3%
АФФ.ЗАВОДЫ	8326	6.9%
ПРОМЫШЛЕННОСТЬ	2327	1.9%
НЕДРОПОЛЬЗОВАТЕЛИ	1818	1.5%
АВТОКАТАЛИЗАТОРЫ	1402	1.2%
ПРОЧЕЕ	1232	1.0%
Other values (2)	1297	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
трейдинг	23927	16.2%
дм	23927	16.2%
банки	21277	14.4%
инкассация	20710	14.0%
ювелиры	20260	13.7%
ломбарды	18514	12.5%
афф.заводы	8326	5.6%
промышленность	2327	1.6%
недропользователи	1818	1.2%
автокатализаторы	1402	0.9%
Other values (7)	5645	3.8%

Most occurring characters

Value	Count	Frequency (%)
И	112959	10.6%
А	107365	10.1%
Д	76512	7.2%
Н	74980	7.0%
Р	70777	6.6%
Е	53650	5.0%
Ы	51608	4.8%
Л	46918	4.4%
М	44768	4.2%
К	44168	4.1%
Other values (21)	382317	35.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1029095	96.5%
Space Separator	27043	2.5%
Other Punctuation	8326	0.8%
Open Punctuation	779	0.1%
Close Punctuation	779	0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
И	112959	11.0%
А	107365	10.4%
Д	76512	7.4%
Н	74980	7.3%
Р	70777	6.9%
Е	53650	5.2%
Ы	51608	5.0%
Л	46918	4.6%
М	44768	4.4%
К	44168	4.3%
Other values (17)	345390	33.6%

Space Separator

Value	Count	Frequency (%)
	27043	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	8326	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	779	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	779	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1029095	96.5%
Common	36927	3.5%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
И	112959	11.0%
А	107365	10.4%
Д	76512	7.4%
Н	74980	7.3%
Р	70777	6.9%
Е	53650	5.2%
Ы	51608	5.0%
Л	46918	4.6%
М	44768	4.4%
К	44168	4.3%
Other values (17)	345390	33.6%

Common

Value	Count	Frequency (%)
	27043	73.2%
.	8326	22.5%
(	779	2.1%
)	779	2.1%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1029095	96.5%
ASCII	36927	3.5%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
И	112959	11.0%
А	107365	10.4%
Д	76512	7.4%
Н	74980	7.3%
Р	70777	6.9%
Е	53650	5.2%
Ы	51608	5.0%
Л	46918	4.6%
М	44768	4.4%
К	44168	4.3%
Other values (17)	345390	33.6%

ASCII

Value	Count	Frequency (%)
	27043	73.2%
.	8326	22.5%
(	779	2.1%
)	779	2.1%

Shipper Name
Text

Distinct	658
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	77
Median length	70
Mean length	13.705467
Min length	3

Characters and Unicode

Total characters	1659595
Distinct characters	86
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	119 ?
Unique (%)	0.1%

Sample

1st row	ИрАэро Авиакомпания АО
2nd row	Техномет
3rd row	РОСБАНК ПАО
4th row	Еврокат Волга ООО
5th row	Евромет Север ООО

Value	Count	Frequency (%)
пао	32394	11.7%
ооо	26707	9.7%
росбанк	23845	8.6%
ломбард	18511	6.7%
мюз	10790	3.9%
сольфер	9398	3.4%
	9170	3.3%
оао	8184	3.0%
красцветмет	8159	3.0%
авто	7418	2.7%
Other values (902)	121545	44.0%

Most occurring characters

Value	Count	Frequency (%)
О	198385	12.0%
	155038	9.3%
А	111502	6.7%
а	74261	4.5%
о	63388	3.8%
К	57401	3.5%
С	56538	3.4%
Р	55397	3.3%
е	52635	3.2%
т	50984	3.1%
Other values (76)	784066	47.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	839737	50.6%
Lowercase Letter	642108	38.7%
Space Separator	155038	9.3%
Dash Punctuation	14897	0.9%
Close Punctuation	2585	0.2%
Open Punctuation	2585	0.2%
Other Punctuation	1620	0.1%
Decimal Number	495	< 0.1%
Initial Punctuation	265	< 0.1%
Final Punctuation	265	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
О	198385	23.6%
А	111502	13.3%
К	57401	6.8%
С	56538	6.7%
Р	55397	6.6%
П	49287	5.9%
Л	48189	5.7%
Б	44349	5.3%
Н	38535	4.6%
Т	23392	2.8%
Other values (23)	156762	18.7%

Lowercase Letter

Value	Count	Frequency (%)
а	74261	11.6%
о	63388	9.9%
е	52635	8.2%
т	50984	7.9%
р	47317	7.4%
м	43060	6.7%
в	38767	6.0%
и	35815	5.6%
н	32356	5.0%
л	32225	5.0%
Other values (23)	171300	26.7%

Decimal Number

Value	Count	Frequency (%)
1	127	25.7%
7	114	23.0%
9	90	18.2%
2	70	14.1%
4	40	8.1%
6	31	6.3%
5	8	1.6%
0	8	1.6%
8	6	1.2%
3	1	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1142	70.5%
,	446	27.5%
"	32	2.0%

Dash Punctuation

Value	Count	Frequency (%)
-	14822	99.5%
–	75	0.5%

Space Separator

Value	Count	Frequency (%)
	155038	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2585	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2585	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	265	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1481845	89.3%
Common	177750	10.7%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
О	198385	13.4%
А	111502	7.5%
а	74261	5.0%
о	63388	4.3%
К	57401	3.9%
С	56538	3.8%
Р	55397	3.7%
е	52635	3.6%
т	50984	3.4%
П	49287	3.3%
Other values (56)	712067	48.1%

Common

Value	Count	Frequency (%)
	155038	87.2%
-	14822	8.3%
)	2585	1.5%
(	2585	1.5%
.	1142	0.6%
,	446	0.3%
«	265	0.1%
»	265	0.1%
1	127	0.1%
7	114	0.1%
Other values (10)	361	0.2%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1481845	89.3%
ASCII	177145	10.7%
None	530	< 0.1%
Punctuation	75	< 0.1%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
О	198385	13.4%
А	111502	7.5%
а	74261	5.0%
о	63388	4.3%
К	57401	3.9%
С	56538	3.8%
Р	55397	3.7%
е	52635	3.6%
т	50984	3.4%
П	49287	3.3%
Other values (56)	712067	48.1%

ASCII

Value	Count	Frequency (%)
	155038	87.5%
-	14822	8.4%
)	2585	1.5%
(	2585	1.5%
.	1142	0.6%
,	446	0.3%
1	127	0.1%
7	114	0.1%
9	90	0.1%
2	70	< 0.1%
Other values (7)	126	0.1%

None

Value	Count	Frequency (%)
«	265	50.0%
»	265	50.0%

Punctuation

Value	Count	Frequency (%)
–	75	100.0%

City PU
Text

Distinct	260
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	24
Median length	6
Mean length	7.1420018
Min length	2

Characters and Unicode

Total characters	864825
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	< 0.1%

Sample

1st row	Москва
2nd row	Москва
3rd row	Москва
4th row	Нижний Новгород
5th row	Санкт-Петербург

Value	Count	Frequency (%)
москва	83338	67.4%
красноярск	11168	9.0%
санкт-петербург	3444	2.8%
касимов	2255	1.8%
кострома	1528	1.2%
екатеринбург	1286	1.0%
новосибирск	1194	1.0%
бишкек	1087	0.9%
магадан	989	0.8%
верхняя	867	0.7%
Other values (269)	16471	13.3%

Most occurring characters

Value	Count	Frequency (%)
с	117104	13.5%
о	117048	13.5%
а	116962	13.5%
к	108070	12.5%
в	91741	10.6%
М	84934	9.8%
р	42798	4.9%
н	25688	3.0%
К	16768	1.9%
е	16358	1.9%
Other values (55)	127354	14.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	728481	84.2%
Uppercase Letter	127888	14.8%
Dash Punctuation	5424	0.6%
Space Separator	2537	0.3%
Other Punctuation	465	0.1%
Decimal Number	30	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
с	117104	16.1%
о	117048	16.1%
а	116962	16.1%
к	108070	14.8%
в	91741	12.6%
р	42798	5.9%
н	25688	3.5%
е	16358	2.2%
я	13872	1.9%
т	13434	1.8%
Other values (22)	65406	9.0%

Uppercase Letter

Value	Count	Frequency (%)
М	84934	66.4%
К	16768	13.1%
П	5007	3.9%
С	4991	3.9%
В	2875	2.2%
Н	2818	2.2%
Е	1832	1.4%
Б	1270	1.0%
Д	1157	0.9%
А	1121	0.9%
Other values (18)	5115	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	451	97.0%
,	14	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5424	100.0%

Space Separator

Value	Count	Frequency (%)
	2537	100.0%

Decimal Number

Value	Count	Frequency (%)
2	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	856369	99.0%
Common	8456	1.0%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
с	117104	13.7%
о	117048	13.7%
а	116962	13.7%
к	108070	12.6%
в	91741	10.7%
М	84934	9.9%
р	42798	5.0%
н	25688	3.0%
К	16768	2.0%
е	16358	1.9%
Other values (50)	118898	13.9%

Common

Value	Count	Frequency (%)
-	5424	64.1%
	2537	30.0%
.	451	5.3%
2	30	0.4%
,	14	0.2%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	856369	99.0%
ASCII	8456	1.0%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
с	117104	13.7%
о	117048	13.7%
а	116962	13.7%
к	108070	12.6%
в	91741	10.7%
М	84934	9.9%
р	42798	5.0%
н	25688	3.0%
К	16768	2.0%
е	16358	1.9%
Other values (50)	118898	13.9%

ASCII

Value	Count	Frequency (%)
-	5424	64.1%
	2537	30.0%
.	451	5.3%
2	30	0.4%
,	14	0.2%

City DLV
Text

Distinct	320
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	24
Median length	6
Mean length	7.4262532
Min length	3

Characters and Unicode

Total characters	899245
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	< 0.1%

Sample

1st row	Иркутск
2nd row	Каменск-Уральский
3rd row	Москва
4th row	Красноярск
5th row	Красноярск

Value	Count	Frequency (%)
москва	76438	62.0%
красноярск	8936	7.3%
кострома	5580	4.5%
санкт-петербург	4793	3.9%
екатеринбург	1694	1.4%
красное-на-волге	1689	1.4%
касимов	1572	1.3%
новосибирск	1081	0.9%
новгород	762	0.6%
казань	691	0.6%
Other values (330)	19987	16.2%

Most occurring characters

Value	Count	Frequency (%)
о	123549	13.7%
а	116570	13.0%
с	112009	12.5%
к	100494	11.2%
в	86200	9.6%
М	76995	8.6%
р	50409	5.6%
н	28941	3.2%
е	22681	2.5%
т	21575	2.4%
Other values (55)	159822	17.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	756536	84.1%
Uppercase Letter	130332	14.5%
Dash Punctuation	9783	1.1%
Space Separator	2133	0.2%
Other Punctuation	433	< 0.1%
Decimal Number	28	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
о	123549	16.3%
а	116570	15.4%
с	112009	14.8%
к	100494	13.3%
в	86200	11.4%
р	50409	6.7%
н	28941	3.8%
е	22681	3.0%
т	21575	2.9%
и	13079	1.7%
Other values (22)	81029	10.7%

Uppercase Letter

Value	Count	Frequency (%)
М	76995	59.1%
К	20238	15.5%
С	7180	5.5%
П	6511	5.0%
В	3982	3.1%
Н	3134	2.4%
Е	2362	1.8%
Т	1248	1.0%
Д	1235	0.9%
Р	1043	0.8%
Other values (18)	6404	4.9%

Other Punctuation

Value	Count	Frequency (%)
.	420	97.0%
,	13	3.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9783	100.0%

Space Separator

Value	Count	Frequency (%)
	2133	100.0%

Decimal Number

Value	Count	Frequency (%)
2	28	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	886868	98.6%
Common	12377	1.4%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
о	123549	13.9%
а	116570	13.1%
с	112009	12.6%
к	100494	11.3%
в	86200	9.7%
М	76995	8.7%
р	50409	5.7%
н	28941	3.3%
е	22681	2.6%
т	21575	2.4%
Other values (50)	147445	16.6%

Common

Value	Count	Frequency (%)
-	9783	79.0%
	2133	17.2%
.	420	3.4%
2	28	0.2%
,	13	0.1%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	886868	98.6%
ASCII	12377	1.4%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
о	123549	13.9%
а	116570	13.1%
с	112009	12.6%
к	100494	11.3%
в	86200	9.7%
М	76995	8.7%
р	50409	5.7%
н	28941	3.3%
е	22681	2.6%
т	21575	2.4%
Other values (50)	147445	16.6%

ASCII

Value	Count	Frequency (%)
-	9783	79.0%
	2133	17.2%
.	420	3.4%
2	28	0.2%
,	13	0.1%

Mode Of Transport Sh
Categorical

High correlation

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Road	75704
Air	44518
Rail	863
SubTr	5

Length

Max length	5
Median length	4
Mean length	3.6323974
Min length	3

Characters and Unicode

Total characters	439847
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Air
2nd row	Air
3rd row	Road
4th row	Rail
5th row	Rail

Common Values

Value	Count	Frequency (%)
Road	75704	62.5%
Air	44518	36.8%
Rail	863	0.7%
SubTr	5	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
road	75704	62.5%
air	44518	36.8%
rail	863	0.7%
subtr	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
R	76567	17.4%
a	76567	17.4%
o	75704	17.2%
d	75704	17.2%
i	45381	10.3%
r	44523	10.1%
A	44518	10.1%
l	863	0.2%
S	5	< 0.1%
u	5	< 0.1%
Other values (2)	10	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	318752	72.5%
Uppercase Letter	121095	27.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	76567	24.0%
o	75704	23.8%
d	75704	23.8%
i	45381	14.2%
r	44523	14.0%
l	863	0.3%
u	5	< 0.1%
b	5	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
R	76567	63.2%
A	44518	36.8%
S	5	< 0.1%
T	5	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	439847	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	76567	17.4%
a	76567	17.4%
o	75704	17.2%
d	75704	17.2%
i	45381	10.3%
r	44523	10.1%
A	44518	10.1%
l	863	0.2%
S	5	< 0.1%
u	5	< 0.1%
Other values (2)	10	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	439847	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	76567	17.4%
a	76567	17.4%
o	75704	17.2%
d	75704	17.2%
i	45381	10.3%
r	44523	10.1%
A	44518	10.1%
l	863	0.2%
S	5	< 0.1%
u	5	< 0.1%
Other values (2)	10	< 0.1%

DepartmentCodeDescription
Categorical

High correlation

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Banknotes	39807
DJ	31837
Prec.Metals	23245
Gold	14345
Silver	5313
Other values (10)	6543

Length

Max length	11
Median length	9
Mean length	6.6545132
Min length	2

Characters and Unicode

Total characters	805795
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Prec.Metals
3rd row	Banknotes
4th row	Catalyst
5th row	Catalyst

Common Values

Value	Count	Frequency (%)
Banknotes	39807	32.9%
DJ	31837	26.3%
Prec.Metals	23245	19.2%
Gold	14345	11.8%
Silver	5313	4.4%
ATM	1824	1.5%
Diamonds	1472	1.2%
Catalyst	1250	1.0%
Other	1148	0.9%
Jewellery	195	0.2%
Other values (5)	654	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
banknotes	39807	32.9%
dj	31837	26.3%
prec.metals	23245	19.2%
gold	14345	11.8%
silver	5313	4.4%
atm	1824	1.5%
diamonds	1472	1.2%
catalyst	1250	1.0%
other	1148	0.9%
jewellery	195	0.2%
Other values (6)	686	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	93565	11.6%
n	81399	10.1%
a	67618	8.4%
t	66855	8.3%
s	66087	8.2%
o	55937	6.9%
l	44543	5.5%
B	39807	4.9%
k	39807	4.9%
D	33499	4.2%
Other values (22)	216678	26.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	602666	74.8%
Uppercase Letter	179852	22.3%
Other Punctuation	23245	2.9%
Space Separator	32	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	93565	15.5%
n	81399	13.5%
a	67618	11.2%
t	66855	11.1%
s	66087	11.0%
o	55937	9.3%
l	44543	7.4%
k	39807	6.6%
r	30464	5.1%
c	23245	3.9%
Other values (9)	33146	5.5%

Uppercase Letter

Value	Count	Frequency (%)
B	39807	22.1%
D	33499	18.6%
J	32032	17.8%
M	25069	13.9%
P	23431	13.0%
G	14345	8.0%
S	5313	3.0%
A	1947	1.1%
T	1824	1.0%
C	1437	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	23245	100.0%

Space Separator

Value	Count	Frequency (%)
	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	782518	97.1%
Common	23277	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	93565	12.0%
n	81399	10.4%
a	67618	8.6%
t	66855	8.5%
s	66087	8.4%
o	55937	7.1%
l	44543	5.7%
B	39807	5.1%
k	39807	5.1%
D	33499	4.3%
Other values (20)	193401	24.7%

Common

Value	Count	Frequency (%)
.	23245	99.9%
	32	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	805795	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	93565	11.6%
n	81399	10.1%
a	67618	8.4%
t	66855	8.3%
s	66087	8.2%
o	55937	6.9%
l	44543	5.5%
B	39807	4.9%
k	39807	4.9%
D	33499	4.2%
Other values (22)	216678	26.9%

Service Type Name
Categorical

Distinct	28
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Дверь-в-Дверь	21820
Банкоматы	20610
Дверь в дверь ОПТИМ	13319
Доп.адрес по Москве	12929
Перевозка по Москве	12883
Other values (23)	39529

Length

Max length	25
Median length	24
Mean length	14.764142
Min length	3

Characters and Unicode

Total characters	1787790
Distinct characters	51
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Дверь-в-Дверь
2nd row	Дверь в дверь ЭКСПРЕСС
3rd row	Банкоматы
4th row	Дверь-в-Дверь
5th row	Дверь-в-Дверь

Common Values

Value	Count	Frequency (%)
Дверь-в-Дверь	21820	18.0%
Банкоматы	20610	17.0%
Дверь в дверь ОПТИМ	13319	11.0%
Доп.адрес по Москве	12929	10.7%
Перевозка по Москве	12883	10.6%
Доп адрес	6962	5.7%
банкоматы срочные	5628	4.6%
Встречный груз	4955	4.1%
Попутная доставка	3896	3.2%
Дверь в дверь ЭКСПРЕСС	3546	2.9%
Other values (18)	14542	12.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
дверь	33920	13.2%
по	26659	10.3%
банкоматы	26238	10.2%
москве	25812	10.0%
дверь-в-дверь	21820	8.5%
в	16960	6.6%
оптим	14005	5.4%
перевозка	13730	5.3%
доп.адрес	12929	5.0%
доп	6962	2.7%
Other values (30)	58858	22.8%

Most occurring characters

Value	Count	Frequency (%)
е	178824	10.0%
в	169828	9.5%
р	144853	8.1%
	136803	7.7%
о	134858	7.5%
а	124294	7.0%
Д	81868	4.6%
ь	78937	4.4%
к	72176	4.0%
с	62591	3.5%
Other values (41)	602758	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1329498	74.4%
Uppercase Letter	263935	14.8%
Space Separator	136803	7.7%
Dash Punctuation	44331	2.5%
Other Punctuation	12929	0.7%
Open Punctuation	98	< 0.1%
Close Punctuation	98	< 0.1%
Decimal Number	98	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
е	178824	13.5%
в	169828	12.8%
р	144853	10.9%
о	134858	10.1%
а	124294	9.3%
ь	78937	5.9%
к	72176	5.4%
с	62591	4.7%
п	52775	4.0%
н	48159	3.6%
Other values (16)	262203	19.7%

Uppercase Letter

Value	Count	Frequency (%)
Д	81868	31.0%
П	40297	15.3%
М	39131	14.8%
Б	20610	7.8%
О	14048	5.3%
Т	13340	5.1%
И	13319	5.0%
С	10644	4.0%
Р	6073	2.3%
К	5387	2.0%
Other values (8)	19218	7.3%

Decimal Number

Value	Count	Frequency (%)
3	80	81.6%
2	18	18.4%

Space Separator

Value	Count	Frequency (%)
	136803	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	44331	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	12929	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	98	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	98	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1593433	89.1%
Common	194357	10.9%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
е	178824	11.2%
в	169828	10.7%
р	144853	9.1%
о	134858	8.5%
а	124294	7.8%
Д	81868	5.1%
ь	78937	5.0%
к	72176	4.5%
с	62591	3.9%
п	52775	3.3%
Other values (34)	492429	30.9%

Common

Value	Count	Frequency (%)
	136803	70.4%
-	44331	22.8%
.	12929	6.7%
(	98	0.1%
)	98	0.1%
3	80	< 0.1%
2	18	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1593433	89.1%
ASCII	194357	10.9%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
е	178824	11.2%
в	169828	10.7%
р	144853	9.1%
о	134858	8.5%
а	124294	7.8%
Д	81868	5.1%
ь	78937	5.0%
к	72176	4.5%
с	62591	3.9%
п	52775	3.3%
Other values (34)	492429	30.9%

ASCII

Value	Count	Frequency (%)
	136803	70.4%
-	44331	22.8%
.	12929	6.7%
(	98	0.1%
)	98	0.1%
3	80	< 0.1%
2	18	< 0.1%

Gross Weight
Real number (ℝ)

High correlation Skewed

Distinct	8770
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	79.373295

Minimum	0.001
Maximum	71012
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	946.1 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.89
Q1	1
median	1
Q3	11
95-th percentile	212.955
Maximum	71012
Range	71011.999
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	816.34431
Coefficient of variation (CV)	10.284874
Kurtosis	2180.5224
Mean	79.373295
Median Absolute Deviation (MAD)	0.4
Skewness	38.279612
Sum	9611312.3
Variance	666418.03
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	56143	46.4%
2	3049	2.5%
3	2498	2.1%
5	2173	1.8%
4	2057	1.7%
10	1522	1.3%
6	1440	1.2%
7	931	0.8%
8	879	0.7%
20	827	0.7%
Other values (8760)	49571	40.9%

Value	Count	Frequency (%)
0.001	1	< 0.1%
0.004	1	< 0.1%
0.01	5	< 0.1%
0.02	5	< 0.1%
0.032	1	< 0.1%
0.038	1	< 0.1%
0.04	4	< 0.1%
0.043	1	< 0.1%
0.05	27	< 0.1%
0.057	1	< 0.1%

Value	Count	Frequency (%)
71012	1	< 0.1%
69000	1	< 0.1%
68000	1	< 0.1%
50286	1	< 0.1%
45100	1	< 0.1%
44467	1	< 0.1%
42000	1	< 0.1%
41400	1	< 0.1%
41097	1	< 0.1%
40000	1	< 0.1%

Revenue (Local)
Real number (ℝ)

High correlation

Distinct	44436
Distinct (%)	36.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18845.586

Minimum	0
Maximum	2592753
Zeros	26
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	946.1 KiB

Quantile statistics

Minimum	0
5-th percentile	500
Q1	1346.9075
median	3950
Q3	13509.083
95-th percentile	70408.881
Maximum	2592753
Range	2592753
Interquartile range (IQR)	12162.175

Descriptive statistics

Standard deviation	69664.971
Coefficient of variation (CV)	3.6966201
Kurtosis	248.04687
Mean	18845.586
Median Absolute Deviation (MAD)	3450
Skewness	13.12599
Sum	2.282012 × 10⁹
Variance	4.8532082 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
500	14334	11.8%
541.67	6214	5.1%
1750	5756	4.8%
1350	3773	3.1%
1125	3582	3.0%
1250	1837	1.5%
1450	1731	1.4%
1916.67	1510	1.2%
13200	1349	1.1%
2000	1013	0.8%
Other values (44426)	79991	66.1%

Value	Count	Frequency (%)
0	26	< 0.1%
0.01	297	0.2%
0.14	1	< 0.1%
0.48	1	< 0.1%
0.67	1	< 0.1%
0.72	1	< 0.1%
0.74	1	< 0.1%
0.85	1	< 0.1%
0.86	1	< 0.1%
0.93	1	< 0.1%

Value	Count	Frequency (%)
2592752.98	1	< 0.1%
2458000	1	< 0.1%
2195955.09	1	< 0.1%
2145000	1	< 0.1%
2070000	1	< 0.1%
2008934.92	1	< 0.1%
2005326.67	1	< 0.1%
1960000	1	< 0.1%
1950996.25	1	< 0.1%
1904093.05	1	< 0.1%

period
Categorical

High correlation

Distinct	30
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

2023-12	5691
2024-04	5618
2024-03	5433
2024-02	5360
2024-05	5155
Other values (25)	93833

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	847630
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2023-01
2nd row	2023-01
3rd row	2023-01
4th row	2023-01
5th row	2023-01

Common Values

Value	Count	Frequency (%)
2023-12	5691	4.7%
2024-04	5618	4.6%
2024-03	5433	4.5%
2024-02	5360	4.4%
2024-05	5155	4.3%
2024-07	5096	4.2%
2024-06	4891	4.0%
2024-10	4815	4.0%
2024-08	4523	3.7%
2024-09	4457	3.7%
Other values (20)	70051	57.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2023-12	5691	4.7%
2024-04	5618	4.6%
2024-03	5433	4.5%
2024-02	5360	4.4%
2024-05	5155	4.3%
2024-07	5096	4.2%
2024-06	4891	4.0%
2024-10	4815	4.0%
2024-08	4523	3.7%
2024-09	4457	3.7%
Other values (20)	70051	57.9%

Most occurring characters

Value	Count	Frequency (%)
2	263986	31.1%
0	224293	26.5%
-	121090	14.3%
4	71000	8.4%
3	57457	6.8%
1	44498	5.2%
5	31151	3.7%
7	8755	1.0%
8	8677	1.0%
6	8496	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	726540	85.7%
Dash Punctuation	121090	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	263986	36.3%
0	224293	30.9%
4	71000	9.8%
3	57457	7.9%
1	44498	6.1%
5	31151	4.3%
7	8755	1.2%
8	8677	1.2%
6	8496	1.2%
9	8227	1.1%

Dash Punctuation

Value	Count	Frequency (%)
-	121090	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	847630	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	263986	31.1%
0	224293	26.5%
-	121090	14.3%
4	71000	8.4%
3	57457	6.8%
1	44498	5.2%
5	31151	3.7%
7	8755	1.0%
8	8677	1.0%
6	8496	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	847630	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	263986	31.1%
0	224293	26.5%
-	121090	14.3%
4	71000	8.4%
3	57457	6.8%
1	44498	5.2%
5	31151	3.7%
7	8755	1.0%
8	8677	1.0%
6	8496	1.0%

Group
Categorical

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Metals	42904
Banknotes	39929
D&J	33504
Domestic	1824
Catalyst	1261
Other values (5)	1668

Length

Max length	11
Median length	9
Mean length	6.2037245
Min length	3

Characters and Unicode

Total characters	751209
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Metals
3rd row	Banknotes
4th row	Catalyst
5th row	Catalyst

Common Values

Value	Count	Frequency (%)
Metals	42904	35.4%
Banknotes	39929	33.0%
D&J	33504	27.7%
Domestic	1824	1.5%
Catalyst	1261	1.0%
Other	1137	0.9%
Dangerous	190	0.2%
Pharma	186	0.2%
Art	123	0.1%
Credit Card	32	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
metals	42904	35.4%
banknotes	39929	33.0%
d&j	33504	27.7%
domestic	1824	1.5%
catalyst	1261	1.0%
other	1137	0.9%
dangerous	190	0.2%
pharma	186	0.2%
art	123	0.1%
credit	32	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
t	88471	11.8%
s	86108	11.5%
e	86016	11.5%
a	85949	11.4%
n	80048	10.7%
l	44165	5.9%
M	42904	5.7%
o	41943	5.6%
B	39929	5.3%
k	39929	5.3%
Other values (17)	115747	15.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	563047	75.0%
Uppercase Letter	154626	20.6%
Other Punctuation	33504	4.5%
Space Separator	32	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	88471	15.7%
s	86108	15.3%
e	86016	15.3%
a	85949	15.3%
n	80048	14.2%
l	44165	7.8%
o	41943	7.4%
k	39929	7.1%
m	2010	0.4%
i	1856	0.3%
Other values (7)	6552	1.2%

Uppercase Letter

Value	Count	Frequency (%)
M	42904	27.7%
B	39929	25.8%
D	35518	23.0%
J	33504	21.7%
C	1325	0.9%
O	1137	0.7%
P	186	0.1%
A	123	0.1%

Other Punctuation

Value	Count	Frequency (%)
&	33504	100.0%

Space Separator

Value	Count	Frequency (%)
	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	717673	95.5%
Common	33536	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	88471	12.3%
s	86108	12.0%
e	86016	12.0%
a	85949	12.0%
n	80048	11.2%
l	44165	6.2%
M	42904	6.0%
o	41943	5.8%
B	39929	5.6%
k	39929	5.6%
Other values (15)	82211	11.5%

Common

Value	Count	Frequency (%)
&	33504	99.9%
	32	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	751209	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	88471	11.8%
s	86108	11.5%
e	86016	11.5%
a	85949	11.4%
n	80048	10.7%
l	44165	5.9%
M	42904	5.7%
o	41943	5.6%
B	39929	5.3%
k	39929	5.3%
Other values (17)	115747	15.4%

Liability m₽
Real number (ℝ)

High correlation Skewed

Distinct	53265
Distinct (%)	44.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.856008

Minimum	1 × 10^-6
Maximum	118705.61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	946.1 KiB

Quantile statistics

Minimum	1 × 10^-6
5-th percentile	0.001
Q1	0.5
median	2.6
Q3	15
95-th percentile	150
Maximum	118705.61
Range	118705.61
Interquartile range (IQR)	14.5

Descriptive statistics

Standard deviation	505.59862
Coefficient of variation (CV)	10.564998
Kurtosis	35040.99
Mean	47.856008
Median Absolute Deviation (MAD)	2.599
Skewness	162.35381
Sum	5794884
Variance	255629.96
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	12466	10.3%
0.001	12004	9.9%
0.05	4218	3.5%
10	2038	1.7%
1	1858	1.5%
1 × 10^-6	1528	1.3%
0.15	1221	1.0%
0.4	864	0.7%
2	845	0.7%
0.3	788	0.7%
Other values (53255)	83260	68.8%

Value	Count	Frequency (%)
1 × 10^-6	1528	1.3%
2 × 10^-6	4	< 0.1%
3 × 10^-6	1	< 0.1%
4 × 10^-6	2	< 0.1%
5 × 10^-6	2	< 0.1%
7 × 10^-6	1	< 0.1%
9 × 10^-6	1	< 0.1%
1.9 × 10^-5	1	< 0.1%
3 × 10^-5	1	< 0.1%
3.1 × 10^-5	1	< 0.1%

Value	Count	Frequency (%)
118705.6088	1	< 0.1%
94259.7687	1	< 0.1%
17906.23516	1	< 0.1%
11602.38484	3	< 0.1%
9000	1	< 0.1%
8758.98	1	< 0.1%
8756.5	1	< 0.1%
8043.5	1	< 0.1%
7500	1	< 0.1%
7378.5	1	< 0.1%

# Sh
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

1	121090

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	121090
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	121090	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	121090	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	121090	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	121090	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	121090	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	121090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	121090	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	121090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	121090	100.0%

route
Text

Distinct	1377
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	41
Median length	15
Mean length	17.568255
Min length	11

Characters and Unicode

Total characters	2127340
Distinct characters	65
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	420 ?
Unique (%)	0.3%

Sample

1st row	Москва - Иркутск
2nd row	Москва - Каменск-Уральский
3rd row	Москва - Москва
4th row	Нижний Новгород - Красноярск
5th row	Санкт-Петербург - Красноярск

Value	Count	Frequency (%)
москва	159776	43.4%
	121090	32.9%
красноярск	20104	5.5%
санкт-петербург	8237	2.2%
кострома	7108	1.9%
касимов	3827	1.0%
екатеринбург	2980	0.8%
новосибирск	2275	0.6%
красное-на-волге	1944	0.5%
владивосток	1419	0.4%
Other values (359)	39180	10.6%

Most occurring characters

Value	Count	Frequency (%)
	246850	11.6%
о	240597	11.3%
а	233532	11.0%
с	229113	10.8%
к	208564	9.8%
в	177941	8.4%
М	161929	7.6%
-	136297	6.4%
р	93207	4.4%
н	54629	2.6%
Other values (55)	344681	16.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1485017	69.8%
Uppercase Letter	258220	12.1%
Space Separator	246850	11.6%
Dash Punctuation	136297	6.4%
Other Punctuation	898	< 0.1%
Decimal Number	58	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
о	240597	16.2%
а	233532	15.7%
с	229113	15.4%
к	208564	14.0%
в	177941	12.0%
р	93207	6.3%
н	54629	3.7%
е	39039	2.6%
т	35009	2.4%
и	26050	1.8%
Other values (22)	147336	9.9%

Uppercase Letter

Value	Count	Frequency (%)
М	161929	62.7%
К	37006	14.3%
С	12171	4.7%
П	11518	4.5%
В	6857	2.7%
Н	5952	2.3%
Е	4194	1.6%
Д	2392	0.9%
А	2039	0.8%
Т	1928	0.7%
Other values (18)	12234	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	871	97.0%
,	27	3.0%

Space Separator

Value	Count	Frequency (%)
	246850	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	136297	100.0%

Decimal Number

Value	Count	Frequency (%)
2	58	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1743237	81.9%
Common	384103	18.1%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
о	240597	13.8%
а	233532	13.4%
с	229113	13.1%
к	208564	12.0%
в	177941	10.2%
М	161929	9.3%
р	93207	5.3%
н	54629	3.1%
е	39039	2.2%
К	37006	2.1%
Other values (50)	267680	15.4%

Common

Value	Count	Frequency (%)
	246850	64.3%
-	136297	35.5%
.	871	0.2%
2	58	< 0.1%
,	27	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1743237	81.9%
ASCII	384103	18.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	246850	64.3%
-	136297	35.5%
.	871	0.2%
2	58	< 0.1%
,	27	< 0.1%

Cyrillic

Value	Count	Frequency (%)
о	240597	13.8%
а	233532	13.4%
с	229113	13.1%
к	208564	12.0%
в	177941	10.2%
М	161929	9.3%
р	93207	5.3%
н	54629	3.1%
е	39039	2.2%
К	37006	2.1%
Other values (50)	267680	15.4%

PU City
Text

Distinct	80
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	24
Median length	7
Mean length	7.8143117
Min length	3

Characters and Unicode

Total characters	946235
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	< 0.1%

Sample

1st row	_Москва
2nd row	_Москва
3rd row	_Москва
4th row	Нижний Новгород
5th row	Санкт-Петербург

Value	Count	Frequency (%)
москва	87295	71.0%
красноярск	11172	9.1%
санкт-петербург	3629	3.0%
екатеринбург	2330	1.9%
касимов	2255	1.8%
кострома	1877	1.5%
новосибирск	1195	1.0%
регион	1183	1.0%
бишкек	1146	0.9%
магадан	1018	0.8%
Other values (74)	9884	8.0%

Most occurring characters

Value	Count	Frequency (%)
с	120014	12.7%
а	119749	12.7%
о	116468	12.3%
к	111168	11.7%
в	94101	9.9%
М	88782	9.4%
_	87295	9.2%
р	42146	4.5%
н	24658	2.6%
К	16535	1.7%
Other values (45)	125319	13.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	724470	76.6%
Uppercase Letter	127498	13.5%
Connector Punctuation	87295	9.2%
Dash Punctuation	5078	0.5%
Space Separator	1894	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
с	120014	16.6%
а	119749	16.5%
о	116468	16.1%
к	111168	15.3%
в	94101	13.0%
р	42146	5.8%
н	24658	3.4%
е	14480	2.0%
т	14205	2.0%
и	12951	1.8%
Other values (21)	54530	7.5%

Uppercase Letter

Value	Count	Frequency (%)
М	88782	69.6%
К	16535	13.0%
С	4999	3.9%
П	3972	3.1%
Е	2819	2.2%
Н	2739	2.1%
Р	1850	1.5%
В	1599	1.3%
Б	1207	0.9%
У	699	0.5%
Other values (11)	2297	1.8%

Connector Punctuation

Value	Count	Frequency (%)
_	87295	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5078	100.0%

Space Separator

Value	Count	Frequency (%)
	1894	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	851968	90.0%
Common	94267	10.0%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
с	120014	14.1%
а	119749	14.1%
о	116468	13.7%
к	111168	13.0%
в	94101	11.0%
М	88782	10.4%
р	42146	4.9%
н	24658	2.9%
К	16535	1.9%
е	14480	1.7%
Other values (42)	103867	12.2%

Common

Value	Count	Frequency (%)
_	87295	92.6%
-	5078	5.4%
	1894	2.0%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	851968	90.0%
ASCII	94267	10.0%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
с	120014	14.1%
а	119749	14.1%
о	116468	13.7%
к	111168	13.0%
в	94101	11.0%
М	88782	10.4%
р	42146	4.9%
н	24658	2.9%
К	16535	1.9%
е	14480	1.7%
Other values (42)	103867	12.2%

ASCII

Value	Count	Frequency (%)
_	87295	92.6%
-	5078	5.4%
	1894	2.0%

DLV City
Text

Distinct	81
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	24
Median length	7
Mean length	8.0098357
Min length	3

Characters and Unicode

Total characters	969911
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	Иркутск
2nd row	Екатеринбург
3rd row	_Москва
4th row	Красноярск
5th row	Красноярск

Value	Count	Frequency (%)
москва	81868	65.9%
красноярск	8946	7.2%
кострома	7742	6.2%
санкт-петербург	5126	4.1%
екатеринбург	2332	1.9%
регион	2029	1.6%
касимов	1572	1.3%
новосибирск	1082	0.9%
ростов-на-дону	817	0.7%
нижний	798	0.6%
Other values (75)	11838	9.5%

Most occurring characters

Value	Count	Frequency (%)
о	123868	12.8%
а	119170	12.3%
с	115874	11.9%
к	103434	10.7%
в	89242	9.2%
М	82253	8.5%
_	81868	8.4%
р	49298	5.1%
н	25710	2.7%
т	23724	2.4%
Other values (45)	155470	16.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	747607	77.1%
Uppercase Letter	130374	13.4%
Connector Punctuation	81868	8.4%
Dash Punctuation	7002	0.7%
Space Separator	3060	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
о	123868	16.6%
а	119170	15.9%
с	115874	15.5%
к	103434	13.8%
в	89242	11.9%
р	49298	6.6%
н	25710	3.4%
т	23724	3.2%
е	18605	2.5%
и	12219	1.6%
Other values (21)	66463	8.9%

Uppercase Letter

Value	Count	Frequency (%)
М	82253	63.1%
К	20125	15.4%
С	7536	5.8%
П	5818	4.5%
Р	3004	2.3%
Е	2924	2.2%
Н	2914	2.2%
В	1653	1.3%
Д	817	0.6%
Ч	793	0.6%
Other values (11)	2537	1.9%

Connector Punctuation

Value	Count	Frequency (%)
_	81868	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7002	100.0%

Space Separator

Value	Count	Frequency (%)
	3060	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	877981	90.5%
Common	91930	9.5%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
о	123868	14.1%
а	119170	13.6%
с	115874	13.2%
к	103434	11.8%
в	89242	10.2%
М	82253	9.4%
р	49298	5.6%
н	25710	2.9%
т	23724	2.7%
К	20125	2.3%
Other values (42)	125283	14.3%

Common

Value	Count	Frequency (%)
_	81868	89.1%
-	7002	7.6%
	3060	3.3%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	877981	90.5%
ASCII	91930	9.5%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
о	123868	14.1%
а	119170	13.6%
с	115874	13.2%
к	103434	11.8%
в	89242	10.2%
М	82253	9.4%
р	49298	5.6%
н	25710	2.9%
т	23724	2.7%
К	20125	2.3%
Other values (42)	125283	14.3%

ASCII

Value	Count	Frequency (%)
_	81868	89.1%
-	7002	7.6%
	3060	3.3%

direction
Text

Distinct	607
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	39
Median length	17
Mean length	18.824147
Min length	11

Characters and Unicode

Total characters	2279416
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	143 ?
Unique (%)	0.1%

Sample

1st row	_Москва - Иркутск
2nd row	_Москва - Екатеринбург
3rd row	_Москва - _Москва
4th row	Нижний Новгород - Красноярск
5th row	Санкт-Петербург - Красноярск

Value	Count	Frequency (%)
москва	169163	45.9%
	121090	32.9%
красноярск	20118	5.5%
кострома	9619	2.6%
санкт-петербург	8755	2.4%
екатеринбург	4662	1.3%
касимов	3827	1.0%
регион	3212	0.9%
новосибирск	2277	0.6%
владивосток	1535	0.4%
Other values (77)	23966	6.5%

Most occurring characters

Value	Count	Frequency (%)
	247134	10.8%
о	240336	10.5%
а	238919	10.5%
с	235888	10.3%
к	214602	9.4%
в	183343	8.0%
М	171035	7.5%
_	169163	7.4%
-	133170	5.8%
р	91444	4.0%
Other values (45)	354382	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1472077	64.6%
Uppercase Letter	257872	11.3%
Space Separator	247134	10.8%
Connector Punctuation	169163	7.4%
Dash Punctuation	133170	5.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
о	240336	16.3%
а	238919	16.2%
с	235888	16.0%
к	214602	14.6%
в	183343	12.5%
р	91444	6.2%
н	50368	3.4%
т	37929	2.6%
е	33085	2.2%
и	25170	1.7%
Other values (21)	120993	8.2%

Uppercase Letter

Value	Count	Frequency (%)
М	171035	66.3%
К	36660	14.2%
С	12535	4.9%
П	9790	3.8%
Е	5743	2.2%
Н	5653	2.2%
Р	4854	1.9%
В	3252	1.3%
Д	1398	0.5%
Ч	1386	0.5%
Other values (11)	5566	2.2%

Space Separator

Value	Count	Frequency (%)
	247134	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	169163	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	133170	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1729949	75.9%
Common	549467	24.1%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
о	240336	13.9%
а	238919	13.8%
с	235888	13.6%
к	214602	12.4%
в	183343	10.6%
М	171035	9.9%
р	91444	5.3%
н	50368	2.9%
т	37929	2.2%
К	36660	2.1%
Other values (42)	229425	13.3%

Common

Value	Count	Frequency (%)
	247134	45.0%
_	169163	30.8%
-	133170	24.2%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1729949	75.9%
ASCII	549467	24.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	247134	45.0%
_	169163	30.8%
-	133170	24.2%

Cyrillic

Value	Count	Frequency (%)
о	240336	13.9%
а	238919	13.8%
с	235888	13.6%
к	214602	12.4%
в	183343	10.6%
М	171035	9.9%
р	91444	5.3%
н	50368	2.9%
т	37929	2.2%
К	36660	2.1%
Other values (42)	229425	13.3%

direction both
Text

Distinct	406
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	42
Median length	20
Mean length	21.824147
Min length	14

Characters and Unicode

Total characters	2642686
Distinct characters	57
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	82 ?
Unique (%)	0.1%

Sample

1st row	_Москва <--> Иркутск
2nd row	_Москва <--> Екатеринбург
3rd row	_Москва <--> _Москва
4th row	Нижний Новгород <--> Красноярск
5th row	Красноярск <--> Санкт-Петербург

Value	Count	Frequency (%)
москва	169163	45.9%
	121090	32.9%
красноярск	20118	5.5%
кострома	9619	2.6%
санкт-петербург	8755	2.4%
екатеринбург	4662	1.3%
касимов	3827	1.0%
регион	3212	0.9%
новосибирск	2277	0.6%
владивосток	1535	0.4%
Other values (77)	23966	6.5%

Most occurring characters

Value	Count	Frequency (%)
-	254260	9.6%
	247134	9.4%
о	240336	9.1%
а	238919	9.0%
с	235888	8.9%
к	214602	8.1%
в	183343	6.9%
М	171035	6.5%
_	169163	6.4%
<	121090	4.6%
Other values (47)	566916	21.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1472077	55.7%
Uppercase Letter	257872	9.8%
Dash Punctuation	254260	9.6%
Space Separator	247134	9.4%
Math Symbol	242180	9.2%
Connector Punctuation	169163	6.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
о	240336	16.3%
а	238919	16.2%
с	235888	16.0%
к	214602	14.6%
в	183343	12.5%
р	91444	6.2%
н	50368	3.4%
т	37929	2.6%
е	33085	2.2%
и	25170	1.7%
Other values (21)	120993	8.2%

Uppercase Letter

Value	Count	Frequency (%)
М	171035	66.3%
К	36660	14.2%
С	12535	4.9%
П	9790	3.8%
Е	5743	2.2%
Н	5653	2.2%
Р	4854	1.9%
В	3252	1.3%
Д	1398	0.5%
Ч	1386	0.5%
Other values (11)	5566	2.2%

Math Symbol

Value	Count	Frequency (%)
<	121090	50.0%
>	121090	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	254260	100.0%

Space Separator

Value	Count	Frequency (%)
	247134	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	169163	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1729949	65.5%
Common	912737	34.5%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
о	240336	13.9%
а	238919	13.8%
с	235888	13.6%
к	214602	12.4%
в	183343	10.6%
М	171035	9.9%
р	91444	5.3%
н	50368	2.9%
т	37929	2.2%
К	36660	2.1%
Other values (42)	229425	13.3%

Common

Value	Count	Frequency (%)
-	254260	27.9%
	247134	27.1%
_	169163	18.5%
<	121090	13.3%
>	121090	13.3%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1729949	65.5%
ASCII	912737	34.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	254260	27.9%
	247134	27.1%
_	169163	18.5%
<	121090	13.3%
>	121090	13.3%

Cyrillic

Value	Count	Frequency (%)
о	240336	13.9%
а	238919	13.8%
с	235888	13.6%
к	214602	12.4%
в	183343	10.6%
М	171035	9.9%
р	91444	5.3%
н	50368	2.9%
т	37929	2.2%
К	36660	2.1%
Other values (42)	229425	13.3%

RU&VAT
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

RU-	117958
non-RU-VAT0	3014
RU-VAT0	90
non-RU-	28

Length

Max length	11
Median length	3
Mean length	3.2030225
Min length	3

Characters and Unicode

Total characters	387854
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	RU-
2nd row	RU-
3rd row	RU-
4th row	RU-
5th row	RU-

Common Values

Value	Count	Frequency (%)
RU-	117958	97.4%
non-RU-VAT0	3014	2.5%
RU-VAT0	90	0.1%
non-RU-	28	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ru	117958	97.4%
non-ru-vat0	3014	2.5%
ru-vat0	90	0.1%
non-ru	28	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
-	124132	32.0%
R	121090	31.2%
U	121090	31.2%
n	6084	1.6%
V	3104	0.8%
A	3104	0.8%
T	3104	0.8%
0	3104	0.8%
o	3042	0.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	251492	64.8%
Dash Punctuation	124132	32.0%
Lowercase Letter	9126	2.4%
Decimal Number	3104	0.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	121090	48.1%
U	121090	48.1%
V	3104	1.2%
A	3104	1.2%
T	3104	1.2%

Lowercase Letter

Value	Count	Frequency (%)
n	6084	66.7%
o	3042	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	124132	100.0%

Decimal Number

Value	Count	Frequency (%)
0	3104	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	260618	67.2%
Common	127236	32.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	121090	46.5%
U	121090	46.5%
n	6084	2.3%
V	3104	1.2%
A	3104	1.2%
T	3104	1.2%
o	3042	1.2%

Common

Value	Count	Frequency (%)
-	124132	97.6%
0	3104	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	387854	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	124132	32.0%
R	121090	31.2%
U	121090	31.2%
n	6084	1.6%
V	3104	0.8%
A	3104	0.8%
T	3104	0.8%
0	3104	0.8%
o	3042	0.8%

Customer
Text

Distinct	607
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

Length

Max length	64
Median length	49
Mean length	12.287018
Min length	3

Characters and Unicode

Total characters	1487835
Distinct characters	87
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	118 ?
Unique (%)	0.1%

Sample

1st row	ИрАэро
2nd row	Техномет / ТМТорг
3rd row	РОСБАНК
4th row	Автокаты
5th row	Автокаты

Value	Count	Frequency (%)
росбанк	23845	10.0%
ломбард	18511	7.8%
ооо	13203	5.6%
	12756	5.4%
мюз	10790	4.5%
калтаев	9931	4.2%
все	9931	4.2%
оао	8184	3.4%
красцветмет	8159	3.4%
авто	7418	3.1%
Other values (859)	114687	48.3%

Most occurring characters

Value	Count	Frequency (%)
	116390	7.8%
а	104109	7.0%
О	99497	6.7%
о	81306	5.5%
е	75977	5.1%
т	69490	4.7%
А	63239	4.3%
в	60652	4.1%
К	58499	3.9%
р	56272	3.8%
Other values (77)	702404	47.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	808505	54.3%
Uppercase Letter	539840	36.3%
Space Separator	116390	7.8%
Dash Punctuation	14909	1.0%
Other Punctuation	6616	0.4%
Open Punctuation	537	< 0.1%
Close Punctuation	537	< 0.1%
Decimal Number	495	< 0.1%
Initial Punctuation	3	< 0.1%
Final Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
а	104109	12.9%
о	81306	10.1%
е	75977	9.4%
т	69490	8.6%
в	60652	7.5%
р	56272	7.0%
л	45223	5.6%
м	45150	5.6%
н	39462	4.9%
с	36598	4.5%
Other values (23)	194266	24.0%

Uppercase Letter

Value	Count	Frequency (%)
О	99497	18.4%
А	63239	11.7%
К	58499	10.8%
С	44687	8.3%
Б	40291	7.5%
Р	37985	7.0%
Л	31971	5.9%
Н	28860	5.3%
З	24153	4.5%
Т	19072	3.5%
Other values (23)	91586	17.0%

Decimal Number

Value	Count	Frequency (%)
1	127	25.7%
7	114	23.0%
9	90	18.2%
2	70	14.1%
4	40	8.1%
6	31	6.3%
5	8	1.6%
0	8	1.6%
8	6	1.2%
3	1	0.2%

Other Punctuation

Value	Count	Frequency (%)
/	5439	82.2%
.	1136	17.2%
"	32	0.5%
,	9	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	14834	99.5%
–	75	0.5%

Space Separator

Value	Count	Frequency (%)
	116390	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	537	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	537	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	3	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	1348345	90.6%
Common	139490	9.4%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
а	104109	7.7%
О	99497	7.4%
о	81306	6.0%
е	75977	5.6%
т	69490	5.2%
А	63239	4.7%
в	60652	4.5%
К	58499	4.3%
р	56272	4.2%
л	45223	3.4%
Other values (56)	634081	47.0%

Common

Value	Count	Frequency (%)
	116390	83.4%
-	14834	10.6%
/	5439	3.9%
.	1136	0.8%
(	537	0.4%
)	537	0.4%
1	127	0.1%
7	114	0.1%
9	90	0.1%
–	75	0.1%
Other values (11)	211	0.2%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	1348345	90.6%
ASCII	139409	9.4%
Punctuation	75	< 0.1%
None	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	116390	83.5%
-	14834	10.6%
/	5439	3.9%
.	1136	0.8%
(	537	0.4%
)	537	0.4%
1	127	0.1%
7	114	0.1%
9	90	0.1%
2	70	0.1%
Other values (8)	135	0.1%

Cyrillic

Value	Count	Frequency (%)
а	104109	7.7%
О	99497	7.4%
о	81306	6.0%
е	75977	5.6%
т	69490	5.2%
А	63239	4.7%
в	60652	4.5%
К	58499	4.3%
р	56272	4.2%
л	45223	3.4%
Other values (56)	634081	47.0%

Punctuation

Value	Count	Frequency (%)
–	75	100.0%

None

Value	Count	Frequency (%)
«	3	50.0%
»	3	50.0%

Group2
Categorical

High correlation

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

2-PM	44412
4-ATM/CIT	40008
3-DJ	33452
1-BN	1745
6-O	1441

Length

Max length	9
Median length	4
Mean length	5.6400941
Min length	3

Characters and Unicode

Total characters	682959
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	6-O
2nd row	2-PM
3rd row	4-ATM/CIT
4th row	2-PM
5th row	2-PM

Common Values

Value	Count	Frequency (%)
2-PM	44412	36.7%
4-ATM/CIT	40008	33.0%
3-DJ	33452	27.6%
1-BN	1745	1.4%
6-O	1441	1.2%
5-CC	32	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2-pm	44412	36.7%
4-atm/cit	40008	33.0%
3-dj	33452	27.6%
1-bn	1745	1.4%
6-o	1441	1.2%
5-cc	32	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
-	121090	17.7%
M	84420	12.4%
T	80016	11.7%
2	44412	6.5%
P	44412	6.5%
C	40072	5.9%
/	40008	5.9%
I	40008	5.9%
A	40008	5.9%
4	40008	5.9%
Other values (9)	108505	15.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	400771	58.7%
Dash Punctuation	121090	17.7%
Decimal Number	121090	17.7%
Other Punctuation	40008	5.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
M	84420	21.1%
T	80016	20.0%
P	44412	11.1%
C	40072	10.0%
I	40008	10.0%
A	40008	10.0%
D	33452	8.3%
J	33452	8.3%
B	1745	0.4%
N	1745	0.4%

Decimal Number

Value	Count	Frequency (%)
2	44412	36.7%
4	40008	33.0%
3	33452	27.6%
1	1745	1.4%
6	1441	1.2%
5	32	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	121090	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	40008	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	400771	58.7%
Common	282188	41.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
M	84420	21.1%
T	80016	20.0%
P	44412	11.1%
C	40072	10.0%
I	40008	10.0%
A	40008	10.0%
D	33452	8.3%
J	33452	8.3%
B	1745	0.4%
N	1745	0.4%

Common

Value	Count	Frequency (%)
-	121090	42.9%
2	44412	15.7%
/	40008	14.2%
4	40008	14.2%
3	33452	11.9%
1	1745	0.6%
6	1441	0.5%
5	32	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	682959	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	121090	17.7%
M	84420	12.4%
T	80016	11.7%
2	44412	6.5%
P	44412	6.5%
C	40072	5.9%
/	40008	5.9%
I	40008	5.9%
A	40008	5.9%
4	40008	5.9%
Other values (9)	108505	15.9%

Group det
Categorical

High correlation

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	946.1 KiB

4-6 Other	40008
3-3 In city	32938
2-4 Other air transport	23363
2-5 Other onground trans	9001
2-7 Vault ops	4635
Other values (13)	11145

Length

Max length	29
Median length	24
Mean length	14.392939
Min length	7

Characters and Unicode

Total characters	1742841
Distinct characters	44
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	6-6 Spare parts
2nd row	2-4 Other air transport
3rd row	4-6 Other
4th row	2-6 Catalyst
5th row	2-6 Catalyst

Common Values

Value	Count	Frequency (%)
4-6 Other	40008	33.0%
3-3 In city	32938	27.2%
2-4 Other air transport	23363	19.3%
2-5 Other onground trans	9001	7.4%
2-7 Vault ops	4635	3.8%
2-2 PM Banks domestic	4002	3.3%
1-1 International	1745	1.4%
2-3 From mines to aff	1308	1.1%
2-6 Catalyst	1258	1.0%
2-1 Iter-n (without catalyst)	844	0.7%
Other values (8)	1988	1.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
other	72404	20.2%
4-6	40008	11.1%
3-3	32938	9.2%
in	32938	9.2%
city	32938	9.2%
2-4	23363	6.5%
air	23363	6.5%
transport	23363	6.5%
2-5	9001	2.5%
onground	9001	2.5%
Other values (37)	59914	16.7%

Most occurring characters

Value	Count	Frequency (%)
	238141	13.7%
t	182601	10.5%
r	166401	9.5%
-	121935	7.0%
n	96647	5.5%
e	81795	4.7%
a	75952	4.4%
h	73434	4.2%
O	72404	4.2%
3	68467	3.9%
Other values (34)	565064	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1009802	57.9%
Decimal Number	242180	13.9%
Space Separator	238141	13.7%
Uppercase Letter	129095	7.4%
Dash Punctuation	121935	7.0%
Open Punctuation	844	< 0.1%
Close Punctuation	844	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	182601	18.1%
r	166401	16.5%
n	96647	9.6%
e	81795	8.1%
a	75952	7.5%
h	73434	7.3%
i	64714	6.4%
o	56801	5.6%
s	48777	4.8%
c	38553	3.8%
Other values (10)	124127	12.3%

Uppercase Letter

Value	Count	Frequency (%)
O	72404	56.1%
I	36042	27.9%
V	4636	3.6%
P	4188	3.2%
M	4002	3.1%
B	4002	3.1%
F	1308	1.0%
C	1258	1.0%
G	769	0.6%
S	208	0.2%
Other values (2)	278	0.2%

Decimal Number

Value	Count	Frequency (%)
3	68467	28.3%
4	63371	26.2%
2	48632	20.1%
6	42915	17.7%
5	9188	3.8%
1	4971	2.1%
7	4635	1.9%
8	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	238141	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	121935	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	844	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	844	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1138897	65.3%
Common	603944	34.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	182601	16.0%
r	166401	14.6%
n	96647	8.5%
e	81795	7.2%
a	75952	6.7%
h	73434	6.4%
O	72404	6.4%
i	64714	5.7%
o	56801	5.0%
s	48777	4.3%
Other values (22)	219371	19.3%

Common

Value	Count	Frequency (%)
	238141	39.4%
-	121935	20.2%
3	68467	11.3%
4	63371	10.5%
2	48632	8.1%
6	42915	7.1%
5	9188	1.5%
1	4971	0.8%
7	4635	0.8%
(	844	0.1%
Other values (2)	845	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1742841	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	238141	13.7%
t	182601	10.5%
r	166401	9.5%
-	121935	7.0%
n	96647	5.5%
e	81795	4.7%
a	75952	4.4%
h	73434	4.2%
O	72404	4.2%
3	68467	3.9%
Other values (34)	565064	32.4%

Interactions

Correlations

	DepartmentCodeDescription	Gross Weight	Group	Group det	Group2	Last Update User	Liability m₽	Mode Of Transport Sh	RU&VAT	Revenue (Local)	Service Type Name	Shipment #	period	Автор	Статья ДДС
DepartmentCodeDescription	1.000	0.069	0.999	0.719	0.893	0.383	0.000	0.473	0.106	0.047	0.316	0.098	0.073	0.369	0.510
Gross Weight	0.069	1.000	0.069	0.072	0.034	0.035	0.624	0.200	0.000	0.605	0.019	0.033	0.008	0.059	0.042
Group	0.999	0.069	1.000	0.882	0.894	0.442	0.000	0.465	0.049	0.047	0.365	0.097	0.089	0.438	0.543
Group det	0.719	0.072	0.882	1.000	1.000	0.417	0.018	0.546	0.580	0.163	0.390	0.099	0.067	0.391	0.588
Group2	0.893	0.034	0.894	1.000	1.000	0.575	0.018	0.251	0.432	0.202	0.498	0.091	0.104	0.577	0.639
Last Update User	0.383	0.035	0.442	0.417	0.575	1.000	0.000	0.353	0.252	0.047	0.316	0.228	0.121	0.610	0.526
Liability m₽	0.000	0.624	0.000	0.018	0.018	0.000	1.000	0.000	0.014	0.622	0.000	0.073	0.000	0.008	0.000
Mode Of Transport Sh	0.473	0.200	0.465	0.546	0.251	0.353	0.000	1.000	0.089	0.061	0.449	0.072	0.084	0.306	0.525
RU&VAT	0.106	0.000	0.049	0.580	0.432	0.252	0.014	0.089	1.000	0.270	0.197	0.028	0.030	0.222	0.115
Revenue (Local)	0.047	0.605	0.047	0.163	0.202	0.047	0.622	0.061	0.270	1.000	0.057	0.113	0.015	0.084	0.043
Service Type Name	0.316	0.019	0.365	0.390	0.498	0.316	0.000	0.449	0.197	0.057	1.000	0.140	0.078	0.302	0.480
Shipment #	0.098	0.033	0.097	0.099	0.091	0.228	0.073	0.072	0.028	0.113	0.140	1.000	0.874	0.247	0.182
period	0.073	0.008	0.089	0.067	0.104	0.121	0.000	0.084	0.030	0.015	0.078	0.874	1.000	0.186	0.147
Автор	0.369	0.059	0.438	0.391	0.577	0.610	0.008	0.306	0.222	0.084	0.302	0.247	0.186	1.000	0.489
Статья ДДС	0.510	0.042	0.543	0.588	0.639	0.526	0.000	0.525	0.115	0.043	0.480	0.182	0.147	0.489	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Shipment #	Pickup Date w/o time	Delivery Date w/o time	Last Update Date	Last Update User	Дата создания	Автор	Статья ДДС	Shipper Name	City PU	City DLV	Mode Of Transport Sh	DepartmentCodeDescription	Service Type Name	Gross Weight	Revenue (Local)	period	Group	Liability m₽	# Sh	route	PU City	DLV City	direction	direction both	RU&VAT	Customer	Group2	Group det
0	708064	31/12/22	01/01/23	18/01/23	Скопенко Анна Алексеевна	30/12/22	Скопенко Анна Алексеевна	ПРОЧЕЕ	ИрАэро Авиакомпания АО	Москва	Иркутск	Air	Other	Дверь-в-Дверь	150.0	40750.00	2023-01	Other	0.000061	1	Москва - Иркутск	_Москва	Иркутск	_Москва - Иркутск	_Москва <--> Иркутск	RU-	ИрАэро	6-O	6-6 Spare parts
1	707864	29/12/22	03/01/23	30/01/23	Новикова Дарья	28/12/22	Новикова Дарья	ТРЕЙДИНГ ДМ	Техномет	Москва	Каменск-Уральский	Air	Prec.Metals	Дверь в дверь ЭКСПРЕСС	25.0	47481.90	2023-01	Metals	1.473012	1	Москва - Каменск-Уральский	_Москва	Екатеринбург	_Москва - Екатеринбург	_Москва <--> Екатеринбург	RU-	Техномет / ТМТорг	2-PM	2-4 Other air transport
2	708022	30/12/22	03/01/23	31/01/23	Косарынская Людмила	30/12/22	Косарынская Людмила	БАНКИ	РОСБАНК ПАО	Москва	Москва	Road	Banknotes	Банкоматы	1.0	500.00	2023-01	Banknotes	8.000000	1	Москва - Москва	_Москва	_Москва	_Москва - _Москва	_Москва <--> _Москва	RU-	РОСБАНК	4-ATM/CIT	4-6 Other
3	707532	28/12/22	04/01/23	17/01/23	Кудрявцева Надежда	26/12/22	Косарынская Людмила	АВТОКАТАЛИЗАТОРЫ	Еврокат Волга ООО	Нижний Новгород	Красноярск	Rail	Catalyst	Дверь-в-Дверь	968.0	78114.21	2023-01	Catalyst	6.811035	1	Нижний Новгород - Красноярск	Нижний Новгород	Красноярск	Нижний Новгород - Красноярск	Нижний Новгород <--> Красноярск	RU-	Автокаты	2-PM	2-6 Catalyst
4	707524	28/12/22	04/01/23	17/01/23	Кудрявцева Надежда	26/12/22	Косарынская Людмила	АВТОКАТАЛИЗАТОРЫ	Евромет Север ООО	Санкт-Петербург	Красноярск	Rail	Catalyst	Дверь-в-Дверь	2277.0	132226.85	2023-01	Catalyst	22.119261	1	Санкт-Петербург - Красноярск	Санкт-Петербург	Красноярск	Санкт-Петербург - Красноярск	Красноярск <--> Санкт-Петербург	RU-	Автокаты	2-PM	2-6 Catalyst
5	707696	29/12/22	04/01/23	17/01/23	Кудрявцева Надежда	27/12/22	Косарынская Людмила	АВТОКАТАЛИЗАТОРЫ	Восток Запад ООО	Москва	Красноярск	Rail	Catalyst	Дверь-в-Дверь	2203.0	98447.70	2023-01	Catalyst	20.563471	1	Москва - Красноярск	_Москва	Красноярск	_Москва - Красноярск	_Москва <--> Красноярск	RU-	Автокаты	2-PM	2-6 Catalyst
6	707697	29/12/22	04/01/23	17/01/23	Кудрявцева Надежда	27/12/22	Косарынская Людмила	АВТОКАТАЛИЗАТОРЫ	Евромет Запад ООО	Москва	Красноярск	Rail	Catalyst	Дверь-в-Дверь	1305.0	58132.17	2023-01	Catalyst	12.960454	1	Москва - Красноярск	_Москва	Красноярск	_Москва - Красноярск	_Москва <--> Красноярск	RU-	Автокаты	2-PM	2-6 Catalyst
7	707698	29/12/22	04/01/23	17/01/23	Кудрявцева Надежда	27/12/22	Косарынская Людмила	АВТОКАТАЛИЗАТОРЫ	Евромет ООО	Москва	Красноярск	Rail	Catalyst	Дверь-в-Дверь	1449.0	63846.87	2023-01	Catalyst	11.293712	1	Москва - Красноярск	_Москва	Красноярск	_Москва - Красноярск	_Москва <--> Красноярск	RU-	Автокаты	2-PM	2-6 Catalyst
8	708067	03/01/23	04/01/23	18/01/23	Скопенко Анна Алексеевна	02/01/23	Скопенко Анна Алексеевна	ПРОЧЕЕ	ИрАэро Авиакомпания АО	Москва	Иркутск	Air	Other	Дверь-в-Дверь	96.0	22916.67	2023-01	Other	2.798032	1	Москва - Иркутск	_Москва	Иркутск	_Москва - Иркутск	_Москва <--> Иркутск	RU-	ИрАэро	6-O	6-6 Spare parts
9	707969	30/12/22	08/01/23	31/01/23	Косарынская Людмила	29/12/22	Косарынская Людмила	БАНКИ	РОСБАНК ПАО	Москва	Москва	Road	Banknotes	Банкоматы	1.0	500.00	2023-01	Banknotes	0.001000	1	Москва - Москва	_Москва	_Москва	_Москва - _Москва	_Москва <--> _Москва	RU-	РОСБАНК	4-ATM/CIT	4-6 Other

	Shipment #	Pickup Date w/o time	Delivery Date w/o time	Last Update Date	Last Update User	Дата создания	Автор	Статья ДДС	Shipper Name	City PU	City DLV	Mode Of Transport Sh	DepartmentCodeDescription	Service Type Name	Gross Weight	Revenue (Local)	period	Group	Liability m₽	# Sh	route	PU City	DLV City	direction	direction both	RU&VAT	Customer	Group2	Group det
121080	831223	27/05/25	03/06/25	27/05/25	Оленев Александр Сергеевич	26/05/25	Решимова Екатерина	АВТОКАТАЛИЗАТОРЫ	ТД ПДМ	Москва	Красноярск	Rail	Catalyst	Дверь-в-Дверь	1192.00	74592.00	2025-06	Catalyst	17.0000	1	Москва - Красноярск	_Москва	Красноярск	_Москва - Красноярск	_Москва <--> Красноярск	RU-	ТД ПДМ	2-PM	2-6 Catalyst
121081	831171	03/06/25	04/06/25	26/05/25	Кудрявцева Надежда	26/05/25	Кудрявцева Надежда	ПРОЧЕЕ	Музейное оборудование и сервис Московский филиал	Москва	Калининград	Air	Art	Дверь-в-Дверь	294.00	0.00	2025-06	Art	0.0160	1	Москва - Калининград	_Москва	Калининград	_Москва - Калининград	_Москва <--> Калининград	RU-	Музейное оборудование и сервис Московский филиал	6-O	6-1 Art
121082	831442	03/06/25	04/06/25	27/05/25	Солодова Елена	27/05/25	Солодова Елена	БАНКИ	Сбербанк России ( металлы)	Москва	Челябинск	Air	Gold	Дверь-в-Дверь	0.14	6412.00	2025-06	Metals	1.1900	1	Москва - Челябинск	_Москва	Челябинск	_Москва - Челябинск	_Москва <--> Челябинск	RU-	Сбербанк	2-PM	2-2 PM Banks domestic
121083	831421	28/05/25	04/06/25	27/05/25	Решимова Екатерина	27/05/25	Решимова Екатерина	ПРОМЫШЛЕННОСТЬ	Парус ООО	Ангарск	Губкинский	Road	Catalyst	Дверь-в-Дверь	2600.00	316666.67	2025-06	Catalyst	54.0000	1	Ангарск - Губкинский	Иркутск	Ноябрьск	Иркутск - Ноябрьск	Иркутск <--> Ноябрьск	RU-	Парус ООО	2-PM	2-6 Catalyst
121084	830905	30/05/25	05/06/25	23/05/25	Дорофеева Елена	23/05/25	Дорофеева Елена	ЮВЕЛИРЫ	Ювелирная группа АЛРОСА	Москва	Ростов-на-Дону	Road	DJ	Дверь-в-Дверь	30.00	26018.60	2025-06	D&J	15.8000	1	Москва - Ростов-на-Дону	_Москва	Ростов-на-Дону	_Москва - Ростов-на-Дону	_Москва <--> Ростов-на-Дону	RU-	Ювелирная группа АЛРОСА	3-DJ	3-3 In city
121085	830315	04/06/25	07/06/25	20/05/25	Солодова Елена	20/05/25	Солодова Елена	АФФ.ЗАВОДЫ	Красцветмет ОАО	Усть-Нера	Красноярск	Air	Prec.Metals	Дверь-в-Дверь	24.00	127937.71	2025-06	Metals	405.0000	1	Усть-Нера - Красноярск	Усть-Нера	Красноярск	Усть-Нера - Красноярск	Красноярск <--> Усть-Нера	RU-	Красцветмет ОАО	2-PM	2-3 From mines to aff
121086	831247	30/05/25	08/06/25	26/05/25	Дорофеева Елена	26/05/25	Дорофеева Елена	ЮВЕЛИРЫ	Торговый центр Атолл	Новосибирск	Ростов-на-Дону	Air	DJ	Дверь в дверь ОПТИМ	120.00	27690.00	2025-06	D&J	30.0000	1	Новосибирск - Ростов-на-Дону	Новосибирск	Ростов-на-Дону	Новосибирск - Ростов-на-Дону	Ростов-на-Дону <--> Новосибирск	RU-	Торговый центр Атолл	3-DJ	3-3 In city
121087	831147	05/06/25	09/06/25	26/05/25	Дорофеева Елена	26/05/25	Дорофеева Елена	ЮВЕЛИРЫ	Ювелирная группа АЛРОСА	Ростов-на-Дону	Смоленск	Road	DJ	Дверь-в-Дверь	30.00	36197.30	2025-06	D&J	15.8000	1	Ростов-на-Дону - Смоленск	Ростов-на-Дону	Смоленск	Ростов-на-Дону - Смоленск	Смоленск <--> Ростов-на-Дону	RU-	Ювелирная группа АЛРОСА	3-DJ	3-3 In city
121088	830474	12/06/25	13/06/25	22/05/25	Кудрявцева Надежда	21/05/25	Кудрявцева Надежда	ПРОЧЕЕ	Музейное оборудование и сервис Московский филиал	Москва	Калининград	Air	Art	Дверь-в-Дверь	100.00	163643.88	2025-06	Art	240.9000	1	Москва - Калининград	_Москва	Калининград	_Москва - Калининград	_Москва <--> Калининград	RU-	Музейное оборудование и сервис Московский филиал	6-O	6-1 Art
121089	823625	01/04/25	30/06/25	13/05/25	Новикова Дарья	31/03/25	Новикова Дарья	ТРЕЙДИНГ ДМ	БРИГ- МЕТ ООО	Москва	Москва	Road	Prec.Metals	Перевозка по Москве	16.45	7000.00	2025-06	Metals	15.1958	1	Москва - Москва	_Москва	_Москва	_Москва - _Москва	_Москва <--> _Москва	RU-	БРИГ- МЕТ ООО	2-PM	2-5 Other onground trans

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Cyrillic

Latin

Common

Most occurring blocks

Most frequent character per block

Cyrillic

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Cyrillic

Common

Most occurring blocks

Most frequent character per block

Cyrillic

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Other Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Cyrillic

Common

Most occurring blocks

Most frequent character per block

Cyrillic

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Space Separator

Close Punctuation

Open Punctuation

Initial Punctuation

Final Punctuation

Most occurring scripts